dc.contributor.author
Lie, Han Cheng
dc.contributor.author
Quer, Jannes
dc.date.accessioned
2018-06-08T10:52:08Z
dc.date.available
2017-12-12T13:26:16.080Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/21247
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-24542
dc.description.abstract
In molecular dynamics, enhanced sampling methods enable the collection of
better statistics of rare events from a reference or target distribution. We
show that a large class of these methods is based on the idea of importance
sampling from mathematical statistics. We illustrate this connection by
comparing the Hartmann-Schütte method for rare event simulation (J. Stat.
Mech. Theor. Exp. 2012, P11004) and the Valsson-Parrinello method of
variationally enhanced sampling [Phys. Rev. Lett. 113, 090601 (2014)]. We use
this connection in order to discuss how recent results from the Monte Carlo
methods literature can guide the development of enhanced sampling methods.
en
dc.format.extent
8 Seiten
dc.rights.uri
http://publishing.aip.org/authors/rights-and-permissions
dc.subject
Molecular dynamics
dc.subject
Monte Carlo methods
dc.subject
Probability theory
dc.subject
Computational methods
dc.subject
Markov processes
dc.subject.ddc
500 Naturwissenschaften und Mathematik::530 Physik
dc.subject.ddc
500 Naturwissenschaften und Mathematik::510 Mathematik
dc.title
Some connections between importance sampling and enhanced sampling methods in
molecular dynamics
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
The Journal of Chemical Physics 147 (2017), Nr. 194107
dcterms.bibliographicCitation.doi
10.1063/1.4989495
dcterms.bibliographicCitation.url
http://doi.org/10.1063/1.4989495
refubium.affiliation
Mathematik und Informatik
de
refubium.funding
OpenAccess Publikation in Allianzlizenz
refubium.mycore.fudocsId
FUDOCS_document_000000028649
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000009227
dcterms.accessRights.openaire
open access
dcterms.isPartOf.issn
0021-9606
dcterms.isPartOf.issn
1089-7690